Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "92"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 92 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 25 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 25 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 92, Node N10:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460008 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 14.330900 0.057128 14.163751 0.442495 6.678149 0.875798 4.312210 1.024945 0.0388 0.6852 0.4277 nan nan
2460007 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.600793 0.281086 11.063786 0.586948 5.956730 1.557546 0.990822 0.999872 0.0367 0.6437 0.4119 nan nan
2459999 RF_maintenance 0.00% 98.91% 98.83% 0.00% - - nan nan nan nan nan nan nan nan 0.2885 0.3448 0.2501 nan nan
2459998 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 9.009497 0.294702 9.464257 0.520166 8.056998 2.074046 0.508294 1.016891 0.0343 0.6397 0.4308 nan nan
2459997 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 9.867865 0.172172 10.037188 0.549031 7.777694 1.573760 0.991079 1.412118 0.0366 0.6538 0.4441 nan nan
2459996 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.950466 0.392796 12.614316 0.607180 7.329208 1.145085 0.029985 1.446945 0.0353 0.6493 0.4460 nan nan
2459995 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.165658 0.408542 11.691416 0.234230 8.128907 1.946094 -0.021106 0.377014 0.0409 0.6541 0.4402 nan nan
2459994 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.759189 0.464463 10.084639 0.442809 7.825026 1.554491 -0.037287 0.196612 0.0362 0.6476 0.4403 nan nan
2459993 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.892378 0.352765 9.363809 0.300571 10.264172 1.705533 0.420067 0.201158 0.0323 0.6557 0.4255 nan nan
2459991 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 12.723075 15.838854 9.925850 10.555534 9.262463 10.818587 -0.128622 0.443725 0.0267 0.0253 0.0015 nan nan
2459990 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.332027 13.045937 9.715500 10.247636 9.158447 11.090332 -0.215434 0.312485 0.0270 0.0254 0.0016 nan nan
2459989 RF_maintenance 100.00% 97.19% 97.30% 0.05% - - nan nan inf inf nan nan nan nan 0.6057 0.5935 0.2652 nan nan
2459988 RF_maintenance 100.00% 0.11% 20.92% 0.00% - - 38.705664 47.865426 0.409067 1.515241 6.025811 5.257177 1.360258 7.521900 0.2907 0.2495 0.0690 nan nan
2459987 RF_maintenance 100.00% 0.00% 17.83% 0.00% - - 32.419295 39.488249 0.488137 1.728107 4.065137 3.591663 0.220663 9.000046 0.2959 0.2576 0.0681 nan nan
2459986 RF_maintenance 100.00% 0.00% 12.15% 0.00% - - 39.189754 48.027187 0.529168 1.717462 5.832803 5.104848 3.105854 9.362757 0.3308 0.2852 0.0734 nan nan
2459985 RF_maintenance 100.00% 0.00% 16.81% 0.00% - - 37.042834 46.386381 0.541096 1.658985 3.520750 3.989963 1.578246 10.290890 0.2892 0.2471 0.0701 nan nan
2459984 RF_maintenance 100.00% 0.00% 4.38% 0.00% - - 35.444619 44.363303 0.644535 0.606764 7.839015 6.979963 1.263903 1.979031 0.3128 0.2777 0.0649 nan nan
2459983 RF_maintenance 100.00% 0.00% 6.81% 0.00% - - 35.384593 39.703273 0.697991 1.572066 4.874681 5.332012 10.193036 9.047531 0.3445 0.2950 0.0670 nan nan
2459982 RF_maintenance 100.00% 0.00% 1.08% 0.00% - - 28.576152 26.418410 1.023870 1.703887 3.398832 3.064986 0.624611 1.440674 0.3858 0.3333 0.0672 nan nan
2459981 RF_maintenance 100.00% 0.00% 15.94% 0.00% - - 32.437436 35.108391 0.455152 1.503455 6.065584 5.427234 0.600344 7.369236 0.2873 0.2485 0.0641 nan nan
2459980 RF_maintenance 100.00% 0.00% 4.16% 0.00% - - 30.292372 32.337948 0.246603 1.318830 6.013201 4.376556 2.521162 3.982186 0.3515 0.3062 0.0618 nan nan
2459979 RF_maintenance 100.00% 0.00% 20.77% 0.00% - - 33.409435 36.599523 0.203972 1.295104 5.073811 4.189802 0.411030 7.376461 0.2814 0.2450 0.0648 nan nan
2459978 RF_maintenance 100.00% 0.00% 24.32% 0.00% - - 34.027205 36.417046 0.249032 1.349654 5.209606 4.437401 1.476318 11.969837 0.2751 0.2404 0.0638 nan nan
2459977 RF_maintenance 100.00% 0.00% 17.50% 0.00% - - 33.359548 36.301419 0.403196 1.476064 11.552886 7.701963 10.840716 7.372787 0.2860 0.2464 0.0617 nan nan
2459976 RF_maintenance 100.00% 0.00% 20.32% 0.00% - - 33.787633 36.128004 0.387816 1.447151 4.834486 4.317082 0.825420 9.051559 0.2881 0.2479 0.0665 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 92: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Shape 14.330900 0.057128 14.330900 0.442495 14.163751 0.875798 6.678149 1.024945 4.312210

Antenna 92: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Power 11.063786 10.600793 0.281086 11.063786 0.586948 5.956730 1.557546 0.990822 0.999872

Antenna 92: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 92: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Power 9.464257 9.009497 0.294702 9.464257 0.520166 8.056998 2.074046 0.508294 1.016891

Antenna 92: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Power 10.037188 9.867865 0.172172 10.037188 0.549031 7.777694 1.573760 0.991079 1.412118

Antenna 92: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Power 12.614316 10.950466 0.392796 12.614316 0.607180 7.329208 1.145085 0.029985 1.446945

Antenna 92: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Power 11.691416 11.165658 0.408542 11.691416 0.234230 8.128907 1.946094 -0.021106 0.377014

Antenna 92: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Shape 10.759189 10.759189 0.464463 10.084639 0.442809 7.825026 1.554491 -0.037287 0.196612

Antenna 92: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Shape 11.892378 11.892378 0.352765 9.363809 0.300571 10.264172 1.705533 0.420067 0.201158

Antenna 92: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 15.838854 12.723075 15.838854 9.925850 10.555534 9.262463 10.818587 -0.128622 0.443725

Antenna 92: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 13.045937 13.045937 10.332027 10.247636 9.715500 11.090332 9.158447 0.312485 -0.215434

Antenna 92: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 92: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 47.865426 47.865426 38.705664 1.515241 0.409067 5.257177 6.025811 7.521900 1.360258

Antenna 92: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 39.488249 32.419295 39.488249 0.488137 1.728107 4.065137 3.591663 0.220663 9.000046

Antenna 92: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 48.027187 48.027187 39.189754 1.717462 0.529168 5.104848 5.832803 9.362757 3.105854

Antenna 92: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 46.386381 46.386381 37.042834 1.658985 0.541096 3.989963 3.520750 10.290890 1.578246

Antenna 92: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 44.363303 35.444619 44.363303 0.644535 0.606764 7.839015 6.979963 1.263903 1.979031

Antenna 92: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 39.703273 35.384593 39.703273 0.697991 1.572066 4.874681 5.332012 10.193036 9.047531

Antenna 92: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance ee Shape 28.576152 28.576152 26.418410 1.023870 1.703887 3.398832 3.064986 0.624611 1.440674

Antenna 92: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 35.108391 35.108391 32.437436 1.503455 0.455152 5.427234 6.065584 7.369236 0.600344

Antenna 92: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 32.337948 32.337948 30.292372 1.318830 0.246603 4.376556 6.013201 3.982186 2.521162

Antenna 92: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 36.599523 33.409435 36.599523 0.203972 1.295104 5.073811 4.189802 0.411030 7.376461

Antenna 92: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 36.417046 36.417046 34.027205 1.349654 0.249032 4.437401 5.209606 11.969837 1.476318

Antenna 92: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 36.301419 33.359548 36.301419 0.403196 1.476064 11.552886 7.701963 10.840716 7.372787

Antenna 92: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
92 N10 RF_maintenance nn Shape 36.128004 36.128004 33.787633 1.447151 0.387816 4.317082 4.834486 9.051559 0.825420
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